AGRICULTURAL
UNIVERSITY OF ATHENS
Department of Agribusiness
& Supply Chain Management

5306 - Statistics

Content

1. Statistical approach: a brief overview. Useful counting rules (multiplication principle, permutations, k-permutations, combinations).
2. Practical notion of probability; basic probability tools.
3. Conditional probability (multiplication rule; law of the total probability; Bayes theorem); Independence.
4. Random variables (cumulative distribution function; discrete and continuous random variables; probability function; probability density function; mean and variance).
5. Useful discrete distributions (Bernoulli; Binomial; Poisson).
6. Useful continuous distributions (Normal;  ; t  and  F).
7. Central limit theorem. The role of probability in statistics.
8. Descriptive statistics (frequency table; numerical descriptive measures; barchart; piechart; box plot; histograms).
9. Sampling distributions.
10. Estimation; point estimation (properties of an estimator); interval estimation (confidence intervals for a (difference of) population mean (s) or proportion (s));
11. Testing hypotheses for a (difference of) population mean (s) or proportion (s));
12. Analysis of variance (single-factor ANOVA; two-factor ANOVA).
13. Goodness-of-fit test; Chi-Square test of independence.

Learning results

The aim of the course is:

 To introduce students to the fundamentals of Probability and Statistics which are relevant to economy and management.

Upon successful completion of the course, the student will be able to:

  • Distinguishes the basic principles of Probability and Statistics.
  • using enumeration methods and basic probability tools
  • describe and summarize data gathered from observing a phenomenon or performing an experiment
  • apply estimation and testing methods  in order to make data-based decisions
  • identify the selected method’s assumptions  and keep in mind that it is required to apply checks for them
  • critique data-based claims and evaluate data-based decisions
  • complete a research project that employs simple statistical inference
  • comply to ethical issues related to data gathering, data usage and publication of results
  • Understands the basic "tools" for dealing with theoretical and practical problems that arise in the modern business environment.

Bibliography

Suggested bibliography:
•    Χαλικιάς, Ι. Στατιστική, Εκδόσεις Rosili 2017.
•    Παπαδόπουλος, Γ. Κ., Εισαγωγή στις Πιθανότητες και τη Στατιστική, Εκδόσεις Gutenberg, 2015.
•    Κουνιάς, Σ., Κολυβά-Μαχαίρα, Φ., Μπαγιάτης, Κ. και Μπόρα-Σέντα, Ε., Εισαγωγή στη Στατιστική, Εκδόσεις Χριστοδουλίδη, Θεσσαλονίκη 2001.

Related academic journals:
•    Journal of Applied Probability
•    Journal of Statistical Computation and Simulation.

NEWSLETTER

The Department was created in 2019 (article 20, Law 4589/2019) and is an evolution of the Supply Systems Management Department (D.S.E.). Housed in a 770 sq.m. building. within a plot with a total area of 8,000 sq.m. in facilities with extensive research and teaching spaces.
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